Top 40
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Rank 1
Single-cell
Null-model scoring of multi-element structure in spatial and regulatory single-cell data
Explicit null-model tests are now applied beyond pairwise links to multi-way co-localization and enhancer hub structure.
8 preprints · 2 published · ↑ 3.3× vs 4-wk avg
Rank 2 ML / AI methods
Machine learning predicts peptide, enzyme, and drug properties under stricter evaluation
February 2026 preprints and publications benchmark property predictors against standardized splits, curated datasets, and experimental ADME reference data.
4 preprints · 3 published · ↑ 2.5× vs 4-wk avg
Rank 3 ML / AI methods
Learned representations of proteins and omics are being probed and benchmarked for…
Foundation and protein language models are now being probed for mechanism, confounding, and design utility across immunology and enzymology.
8 preprints · 2 published · ↑ 2.1× vs 4-wk avg
Rank 4 Single-cell
Learned models forecast single-cell state trajectories and perturbation responses
Recent preprints shift single-cell modeling from static prediction toward forecasting and benchmarked simulation.
11 preprints · 2 published · ↑ 2.1× vs 4-wk avg
Rank 5 Single-cell
Learned models map tissue domains and cell niches from spatial omics data
Multiplexed imaging and spatial transcriptomics now support learned models linking cell interactions and genomic relationships to tissue architecture.
7 preprints · 1 published · ↑ 1.9× vs 4-wk avg
Rank 6 Molecular QTL and GWAS integration links noncoding variants to genes and disease↑ 1.9×GenomicsRank 7 Structure-aware models advance nanobody folding and biomolecular structure prediction↑ 1.9×ML / AI methodsRank 8 Genome-wide data resolve ancestry, admixture and archaic introgression effects↑ 1.6×GenomicsRank 9 Pretrained encoders now predict binding residues, interaction maps and ligand affinity↑ 1.6×Structural bio & protein designRank 10 Scalable genotype inference for pooled single-cell and biobank-scale genetic data↑ 1.6×GenomicsRank 11 Generative diffusion models now sample biomolecular conformations and dynamics↑ 1.6×Structural bio & protein designRank 12 Haplotype, chromatin, and clonal structure inform cancer genome inference↑ 1.5×GenomicsRank 13 Learned models and explicit error control reshape mass-spectrometry omics analysis↑ 1.5×ProteomicsRank 14 Open tools unify, annotate and query biochemical and omics data without bespoke codeTools & infrastructureRank 15 Error control in RNA-seq meta-analysis, spatial differential testing and batch effectsTranscriptomicsRank 16 Machine learning maps noncoding and epigenomic regulatory features across diseasesEpigenomicsRank 17 Local platforms structure omics outputs and metadata for reproducible reuseTools & infrastructureRank 18 Feature-based tools turn genomic and microbiome data into quantitative inferenceTools & infrastructureRank 19 Comparative genomics links lineage-specific gene evolution to traits across animalsGenomicsRank 20 Computational methods extract dynamic, spatial and assembly features from structural dataStructural bio & protein design
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Rank 21 Modular simulation, LLM documentation auditing and privacy-preserving data access toolsTools & infrastructureRank 22 Models link cell mechanics, polarity and pattern formation in collective behaviorSystems biologyRank 23 Structure-constrained learned representations for medical imaging and microscopyML / AI methodsRank 24 Explicit error and haplotype models for sequencing and viral genome inferenceGenomicsRank 25 Automated tools quantify dynamic cell boundaries, filopodia and sperm trajectoriesTools & infrastructureRank 26 Workflows and databases link microbial sequencing data to taxonomy and activityTools & infrastructureRank 27 Network models infer connectivity and dynamics from simulated neural activity and SDE…Systems biologyRank 28 Learned and geometric encodings reframe protein sequence and structure searchStructural bio & protein designRank 29 Harmonized atlases coupled to ML ranking and perturbation models for target discoverySystems biologyRank 30 Computational prioritization and design of small molecules and de novo proteinsStructural bio & protein designRank 31 Compressed feature spaces are used to classify and curate cryo-EM particle imagesStructural bio & protein designRank 32 Reduced-cost algorithms for phylogenetic placement and sequence-to-graph alignmentTools & infrastructureRank 33 Computational models predict antigenic change and pathogen-linked immune signaturesGenomicsRank 34 ML models for isomiR-aware target prediction and artificial miRNA designML / AI methodsRank 35 Latent-variable generative models are being used to explain V1 contextual modulationML / AI methodsRank 36 MD simulations resolve membrane binding, RNA delivery, and PET hydrolysis energeticsStructural bio & protein designRank 37 Supervised models infer latent molecular and temporal states from high-dimensional dataMetabolomicsRank 38 Variant effect data and gene-level models are refining variant significance callsGenomicsRank 39 Models infer pathogen resistance and infection traits from sequence-derived variantsTools & infrastructureRank 40 LLM agents grounded in scRNA-seq data and tools for single-cell annotation and reasoningSingle-cell